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Decentralized GPU networks emerge as a complementary layer for AI inference workloads
AI training for frontier models remains concentrated in hyperscale data centers, while decentralized GPU networks are increasingly targeting inference and routine workloads as a lower-cost option. Executives from Theta Network, Ovia Systems, Fluence and Salad Technologies describe how consumer and gaming GPUs can handle open-source models, data processing and geographically distributed tasks that do not require tightly synchronized hardware. These networks are positioned as a complementary layer in the AI computing stack rather than a replacement for centralized training clusters.
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Microsoft's Rho-alpha robot model brings touch-aware two-armed control in January 2026
In late January 2026, Microsoft introduced Rho-alpha, a robotic foundation model that coordinates two arms using vision, language, and tactile sensing. The system adjusts its grip based on physical feedback for tasks like inserting plugs and assembling parts, and will first roll out via an Early Access Program before becoming available on the Microsoft Foundry platform. Manufacturers and logistics firms can then adapt Rho-alpha with their own data for repetitive handling and small-batch assembly work.
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hace 2d
OpenAI Explores Biometric Social Network as World WLD Jumps 27% on Project Reports
OpenAI is reportedly in the early stages of developing a biometric-based social network that aims to block automated bots by enforcing proof-of-personhood logins. The project plans to use World's iris-scanning Orb devices and tools like Apple Face ID for human verification, while regulatory bans in Hong Kong and Portugal highlight privacy concerns over biometric data. World (WLD) surged about 27% on Thursday as investors reacted to reports linking the token's ecosystem to this experimental platform.
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175,000 exposed Ollama AI servers across 130 countries give hackers 23,000 persistent targets
Between October 2025 and January 2026, security researchers reported that around 175,000 private AI servers running Ollama were exposed to the public internet, with about 23,000 of them remaining persistently online. These unprotected systems span 130 countries and are being hijacked by criminals to steal computing resources, bypass security safeguards, and potentially access internal data using techniques like SSRF, scanning, and prompt injection. Around 48% of the exposed hosts allow tool-calling, and most use a common model file format that could let attackers crash thousands of servers with a single exploit.
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